Predicting the oxygen cost of walking in hemiparetic stroke patients / M. Compagnat in Annals of physical and rehabilitation medicine, Vol. 61, n°5 (Septembre 2018)

Public ISBD [article]  inAnnals of physical and rehabilitation medicine > Vol. 61, n°5 (Septembre 2018) . - p. 3009-314 Titre : Predicting the oxygen cost of walking in hemiparetic stroke patients Type de document : texte imprimé Auteurs : M. Compagnat ; S. Mandigout ; D. Chaparro ; Jean-Yves Salle ; Jean-Christophe Daviet Année de publication : 2018 Article en page(s) : p. 3009-314 Note générale : Doi : 10.1016/j.rehab.2018.03.001 Langues : Anglais (eng) Mots-clés : Stroke  Walking  Oxygen cost  Speed Résumé : Objective To verify the relation between spontaneous walking speed (Sfree) and oxygen cost of walking at Sfree (Cwfree) in post-stroke hemiparetic patients and to test the validity of a prediction model to estimate Cwfree based on Sfree. Design We included 26 participants (mean age 65.1 years [SD 15.7]) with mild to moderate disability after stroke who walked at Sfree using mobility aids if necessary for 6min. The Cwfree was measured at a stabilized metabolic rate by indirect calorimetry with the Metamax 3B spiroergometry device. The relation between Sfree and Cwfree was analyzed by the correlation coefficient (r) and coefficient of determination (R2). The Cwfree prediction model was developed from a regression equation, then tested on a second population of 29 patients (mean age 62.1 years [SD 13.4]) with the same inclusion and exclusion criteria. Results For the 26 participants, the Sfree and Cwfree were highly correlated (r=−0.94 and R2=0.97), which allowed for formulating a regression equation and developing the Cwfree prediction model based on Sfree. The prediction model tests yielded accurate results (mean bias −0.02mL.kg−1.m−1; 95% limits of agreement −0.31 to 0.26mL.kg−1.m−1). The relation between Cwfree estimated by the model and measured by Metamax was high (R2=0.98). Conclusion Cwfree was strongly correlated with Sfree, which allowed for the development of a valid Cwfree prediction model. A practitioner could estimate the energy expenditure of walking for a patient without using an indirect calorimeter. Permalink : ./index.php?lvl=notice_display&id=80626 [article] Predicting the oxygen cost of walking in hemiparetic stroke patients [texte imprimé] / M. Compagnat ; S. Mandigout ; D. Chaparro ; Jean-Yves Salle ; Jean-Christophe Daviet . - 2018 . - p. 3009-314. Doi : 10.1016/j.rehab.2018.03.001 Langues : Anglais (eng) in Annals of physical and rehabilitation medicine > Vol. 61, n°5 (Septembre 2018) . - p. 3009-314 Mots-clés : Stroke  Walking  Oxygen cost  Speed Résumé : Objective To verify the relation between spontaneous walking speed (Sfree) and oxygen cost of walking at Sfree (Cwfree) in post-stroke hemiparetic patients and to test the validity of a prediction model to estimate Cwfree based on Sfree. Design We included 26 participants (mean age 65.1 years [SD 15.7]) with mild to moderate disability after stroke who walked at Sfree using mobility aids if necessary for 6min. The Cwfree was measured at a stabilized metabolic rate by indirect calorimetry with the Metamax 3B spiroergometry device. The relation between Sfree and Cwfree was analyzed by the correlation coefficient (r) and coefficient of determination (R2). The Cwfree prediction model was developed from a regression equation, then tested on a second population of 29 patients (mean age 62.1 years [SD 13.4]) with the same inclusion and exclusion criteria. Results For the 26 participants, the Sfree and Cwfree were highly correlated (r=−0.94 and R2=0.97), which allowed for formulating a regression equation and developing the Cwfree prediction model based on Sfree. The prediction model tests yielded accurate results (mean bias −0.02mL.kg−1.m−1; 95% limits of agreement −0.31 to 0.26mL.kg−1.m−1). The relation between Cwfree estimated by the model and measured by Metamax was high (R2=0.98). Conclusion Cwfree was strongly correlated with Sfree, which allowed for the development of a valid Cwfree prediction model. A practitioner could estimate the energy expenditure of walking for a patient without using an indirect calorimeter. Permalink : ./index.php?lvl=notice_display&id=80626

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Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals / M. Compagnat in Annals of physical and rehabilitation medicine, Vol. 63, n°3 (Mai-Juin 2020)

Public ISBD [article]  inAnnals of physical and rehabilitation medicine > Vol. 63, n°3 (Mai-Juin 2020) . - p. 209-215 Titre : Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals Type de document : texte imprimé Auteurs : M. Compagnat ; S. Mandigout ; C.S. Batcho ; Nicolas Vuillerme ; Jean-Yves Salle ; Romain David ; Jean-Christophe Daviet Année de publication : 2020 Article en page(s) : p. 209-215 Note générale : doi.org/10.1016/j.rehab.2019.07.002 Langues : Anglais (eng) Mots-clés : Energy cost  Walking  Energy expenditure  Calibration  Accelerometer  Algorithm Résumé : Background Recent studies reported that wearable sensor devices show low validity for assessing the amount of energy expenditure in individuals after stroke. Objective We aimed to evaluate the validity of energy expenditure calculation based on the product of energy cost and walked distance estimated by wearable devices in individuals after hemispheric stroke. Methods We recruited individuals with hemispheric stroke sequelae who were able to walk without human assistance. The participants wore a tri-axial accelerometer (Actigraph GT3x) and a pedometer (ONStep 400) on the unaffected hip in addition to a respiratory gas exchange analyzer (METAMAX 3B) during 6 min of walking at their self-selected walking speed and mode. The energy expenditure was calculated from the product of energy cost measured by the METAMAX 3B and the distance estimated by wearable devices. It was compared to the energy expenditure measured by the METAMAX 3B and the energy expenditure values recorded by the devices according to the manufacturer's algorithms. The validity was investigated by Bland-Altman analysis (mean bias [MB], root mean square error [RMSE], limits of agreement [95%LoA]), and Pearson correlation analysis (r). Results We included 26 participants (mean [SD] age 64.6 [14.8] years). With the pedometer, the energy expenditure calculated from the product of energy cost and walked distance showed high accuracy and agreement with METAMAX 3B values (MB = −1.6 kcal; RMSE = 4.1 kcal; 95%LoA = −9.9; 6.6 kcal; r = 0.87, P < 0.01) but low accuracy and agreement with Actigraph GT3x values (MB = 15.7 kcal; RMSE = 8.7 kcal; 95%LoA = −1.3; 32.6 kcal; r = 0.44, P = 0.02) because of poorer estimation of walked distance. With the pedometer, this new method of calculation strongly increased the validity parameter values for estimating energy expenditure as compared with the manufacturer's algorithm. Conclusions This new method based on the energy cost and distance estimated by wearable devices provided better energy expenditure estimates for the pedometer than did the manufacturer's algorithm. The validity of this method depended on the accuracy of the sensor to measure the distance walked by an individual after stroke. Permalink : ./index.php?lvl=notice_display&id=90797 [article] Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals [texte imprimé] / M. Compagnat ; S. Mandigout ; C.S. Batcho ; Nicolas Vuillerme ; Jean-Yves Salle ; Romain David ; Jean-Christophe Daviet . - 2020 . - p. 209-215. doi.org/10.1016/j.rehab.2019.07.002 Langues : Anglais (eng) in Annals of physical and rehabilitation medicine > Vol. 63, n°3 (Mai-Juin 2020) . - p. 209-215 Mots-clés : Energy cost  Walking  Energy expenditure  Calibration  Accelerometer  Algorithm Résumé : Background Recent studies reported that wearable sensor devices show low validity for assessing the amount of energy expenditure in individuals after stroke. Objective We aimed to evaluate the validity of energy expenditure calculation based on the product of energy cost and walked distance estimated by wearable devices in individuals after hemispheric stroke. Methods We recruited individuals with hemispheric stroke sequelae who were able to walk without human assistance. The participants wore a tri-axial accelerometer (Actigraph GT3x) and a pedometer (ONStep 400) on the unaffected hip in addition to a respiratory gas exchange analyzer (METAMAX 3B) during 6 min of walking at their self-selected walking speed and mode. The energy expenditure was calculated from the product of energy cost measured by the METAMAX 3B and the distance estimated by wearable devices. It was compared to the energy expenditure measured by the METAMAX 3B and the energy expenditure values recorded by the devices according to the manufacturer's algorithms. The validity was investigated by Bland-Altman analysis (mean bias [MB], root mean square error [RMSE], limits of agreement [95%LoA]), and Pearson correlation analysis (r). Results We included 26 participants (mean [SD] age 64.6 [14.8] years). With the pedometer, the energy expenditure calculated from the product of energy cost and walked distance showed high accuracy and agreement with METAMAX 3B values (MB = −1.6 kcal; RMSE = 4.1 kcal; 95%LoA = −9.9; 6.6 kcal; r = 0.87, P < 0.01) but low accuracy and agreement with Actigraph GT3x values (MB = 15.7 kcal; RMSE = 8.7 kcal; 95%LoA = −1.3; 32.6 kcal; r = 0.44, P = 0.02) because of poorer estimation of walked distance. With the pedometer, this new method of calculation strongly increased the validity parameter values for estimating energy expenditure as compared with the manufacturer's algorithm. Conclusions This new method based on the energy cost and distance estimated by wearable devices provided better energy expenditure estimates for the pedometer than did the manufacturer's algorithm. The validity of this method depended on the accuracy of the sensor to measure the distance walked by an individual after stroke. Permalink : ./index.php?lvl=notice_display&id=90797

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